LSANet: Feature Learning on Point Sets by Local Spatial Aware Layer

Voxnet: A 3d convolutional neural network for real-time object recognition

Daniel Maturana and Sebastian Scherer · 2015

Earlier work this paper cites.

Multi-view convolutional neural networks for 3d shape recognition

Hang Su, Subhransu Maji, Evangelos Kalogerakis, and Erik Learned-Miller · 2015

Earlier work this paper cites.

3d shapenets: A deep representation for volumetric shapes

Zhirong Wu, Shuran Song, Aditya Khosla, Fisher Yu, Linguang Zhang, Xiaoou Tang, and Jianxiong Xiao · 2015

Earlier work this paper cites.

3d semantic parsing of large-scale indoor spaces

Iro Armeni, Ozan Sener, Amir R Zamir, Helen Jiang, Ioannis Brilakis, Martin Fischer, and Silvio Savarese · 2016

Earlier work this paper cites.

Convolutional neural networks on graphs with fast localized spectral filtering

Michaël Defferrard, Xavier Bresson, and Pierre Vandergheynst · 2016

Earlier work this paper cites.

Geometric deep learning

Jonathan Masci, Emanuele Rodolà, Davide Boscaini, Michael M Bronstein, and Hao Li · 2016

Earlier work this paper cites.

Volumetric and multi-view cnns for object classification on 3d data

Charles R Qi, Hao Su, Matthias Nießner, Angela Dai, Mengyuan Yan, and Leonidas J Guibas · 2016

Earlier work this paper cites.

A scalable active framework for region annotation in 3d shape collections

Li Yi, Vladimir G Kim, Duygu Ceylan, I Shen, Mengyan Yan, Hao Su, Cewu Lu, Qixing Huang, Alla Sheffer, Leonidas Guibas, et al · 2016

Earlier work this paper cites.

Scannet: Richly-annotated 3d reconstructions of indoor scenes

Angela Dai, Angel X Chang, Manolis Savva, Maciej Halber, Thomas A Funkhouser, and Matthias Nießner · 2017

Earlier work this paper cites.

Vote3deep: Fast object detection in 3d point clouds using efficient convolutional neural networks

Martin Engelcke, Dushyant Rao, Dominic Zeng Wang, Chi Hay Tong, and Ingmar Posner · 2017

Earlier work this paper cites.

3d shape segmentation with projective convolutional networks

Evangelos Kalogerakis, Melinos Averkiou, Subhransu Maji, and Siddhartha Chaudhuri · 2017

Cited alongside, same era.

Escape from cells: Deep kd-networks for the recognition of 3d point cloud models

Roman Klokov and Victor Lempitsky · 2017

Cited alongside, same era.

Geometric deep learning on graphs and manifolds using mixture model cnns

Federico Monti, Davide Boscaini, Jonathan Masci, Emanuele Rodola, Jan Svoboda, and Michael M Bronstein · 2017

Cited alongside, same era.

Pointnet: Deep learning on point sets for 3d classification and segmentation

Charles R. Qi, Hao Su, Kaichun Mo, and Leonidas J. Guibas · 2017

Cited alongside, same era.

Pointnet++: Deep hierarchical feature learning on point sets in a metric space

Charles Ruizhongtai Qi, Li Yi, Hao Su, and Leonidas J Guibas · 2017

Cited alongside, same era.

Octnet: Learning deep 3d representations at high resolutions

Recurrent slice networks for 3d segmentation of point clouds

Qiangui Huang, Weiyue Wang, and Ulrich Neumann · 2018

Later among the works it cites.

Large-scale point cloud semantic segmentation with superpoint graphs

Loic Landrieu and Martin Simonovsky · 2018

Later among the works it cites.

So-net: Self-organizing network for point cloud analysis

Jiaxin Li, Ben M Chen, and Gim Hee Lee · 2018

Later among the works it cites.

Pointcnn: Convolution on x-transformed points

Yangyan Li, Rui Bu, Mingchao Sun, Wei Wu, Xinhan Di, and Baoquan Chen · 2018

Later among the works it cites.

Mining point cloud local structures by kernel correlation and graph pooling

Yiru Shen, Chen Feng, Yaoqing Yang, and Dong Tian · 2018

Later among the works it cites.

Splatnet: Sparse lattice networks for point cloud processing

Hang Su, Varun Jampani, Deqing Sun, Subhransu Maji, Evangelos Kalogerakis, Ming-Hsuan Yang, and Jan Kautz · 2018